Yuhang Ming
Slow is smooth, smooth is fast.
Hangzhou, China, 310018
I am a Lecturer at the School of Computer Science, Hangzhou Dianzi University. My research interests cover SLAM, RGB-D perception, 3-D vision, scene understanding, etc.
I was previously a Ph.D. student at the Visual Information Laboratory, University of Bristol, supervised by Prof. Andrew Calway and a visiting Ph.D. student at the State Key Lab of CAD&CG, Zhejiang University, supervised by Prof. Guofeng Zhang. I received my M.S. degree from University of California, San Diego, B.S. from University of Missouri - Columbia and B.Eng. from University of Electronic Science and Technology of China.
news
Nov 29, 2024 | New survey paper accepted to Engineering Applications of Artificial Intelligence. Free access to our paper is available untill Jan. 15, 2025 via link. |
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Apr 18, 2024 | Paper presented at ICASSP 2024. poster. |
Nov 30, 2023 | First prize winner of 2023 Zhijiang Cup - Data Data Governance and Innovative Utilization Competition, in collaboration with Hangzhou Emergency Medical Center and Hangzhou Antigravity Intelligent Technology Co Ltd. 2023“之江杯”数据治理与创新利用大赛——数据开放利用赛道一等奖。中文ppt. |
Oct 2, 2023 | Paper presented at IROS 2023. slides. |
Jun 22, 2023 | Paper presented at CVPR 2023. poster. |
May 29, 2023 | Talk given at the Annual Meeting of Zhejiang Medical Doctors Association. 2023年浙江省医师协会院前急救医师分会年会专题讲座《医疗急救无人机的应用探索》。中文PPT. |
Jan 23, 2023 | Ph.D. thesis is available at Enhancing RGB-D SLAM Using Deep Learning. |
Jan 2, 2023 | New website online. |
Dec 19, 2022 | Passed Ph.D. viva with minor corrections . Many thanks to Prof. Stefan Leutenegger and Prof. David Bull for doing the viva. |
services
Journal Reivewer: IEEE TPAMI, IEEE TCSVT, IEEE R-AL.
Conference Reviewer: ACM MM (2024), IEEE/RSJ IROS (2024, 2023), BMVC (2024, 2023, 2022, 2019)
selected publications
- Benchmarking neural radiance fields for autonomous robots: An overviewEngineering Applications of Artificial Intelligence, 2025